This year I tried solving AoC using Rust, here are my impressions coming from Python!

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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  • dfdx

    Deep learning in Rust, with shape checked tensors and neural networks

  • tch-rs

    Rust bindings for the C++ api of PyTorch.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • are-we-learning-yet

    How ready is Rust for Machine Learning?

  • Also http://arewelearningyet.com

  • advent-of-code-jq

    Solving Advent of Code with jq

  • Advent of Code (AoC) vs. Alexandria Ocasio-Cortez (AOC - note the capital O). Also, this a sub about a software language so that feels like a pretty big context clue.

  • burn

    Discontinued Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn] (by burn-rs)

  • neuronika

    Tensors and dynamic neural networks in pure Rust.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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